Personalized Online Training for Physical Activity monitoring using weak labels
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[1] Paul J. M. Havinga,et al. A Survey of Online Activity Recognition Using Mobile Phones , 2015, Sensors.
[2] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[3] Jesse Hoey,et al. Sensor-Based Activity Recognition , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[4] Chris D. Nugent,et al. DANTE: A Video Based Annotation Tool for Smart Environments , 2010, S-CUBE.
[5] Brian Caulfield,et al. Pervasive Sound Sensing: A Weakly Supervised Training Approach , 2016, IEEE Transactions on Cybernetics.
[6] Ilkka Korhonen,et al. Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions , 2008, IEEE Transactions on Information Technology in Biomedicine.
[7] Qiang Yang,et al. Semi-Supervised Learning with Very Few Labeled Training Examples , 2007, AAAI.
[8] Lucas P J J Noldus,et al. The Observer XT: A tool for the integration and synchronization of multimodal signals , 2009, Behavior research methods.
[9] Bernard C. K. Choi,et al. Daily step goal of 10,000 steps: a literature review. , 2007, Clinical and investigative medicine. Medecine clinique et experimentale.
[10] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[11] Chris D. Nugent,et al. Evaluation of Prompted Annotation of Activity Data Recorded from a Smart Phone , 2014, Sensors.
[12] Didier Stricker,et al. Personalized mobile physical activity recognition , 2013, ISWC '13.
[13] Bernt Schiele,et al. Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Valérie Renaudin,et al. Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users , 2013, Sensors.
[15] Jafet Morales,et al. Physical activity recognition by smartphones, a survey , 2017 .